Global and local feature embedding and image-text fusion sentiment analysis method and system
A local feature and sentiment analysis technology, which is applied in the field of sentiment analysis of social media graphics and texts, can solve problems such as insufficient emotional features and inability to accurately judge user emotions, and achieve the effect of enhancing expression and improving accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0036] The technical solution of the present invention will be described in detail below in conjunction with the drawings:
[0037] Such as figure 1 As shown, the embodiment of the present invention discloses a sentiment analysis method of global and local feature embedding and image-text fusion. The convolutional neural network is used to extract the global features of the image, and the target detection data set is used to pre-train the target detection model through migration learning. Use the emotional image data set to train the target detection model again, detect and locate the effective target area carrying emotion in the image, extract the local area features detected by the detection, and then embed the extracted local area features into the deep features extracted from the image globally To jointly train the image emotion classification model to obtain the emotion polarity probability of the image. Then through training the word vector model, the text is expressed as ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com